Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Labeling Emotion01:20

Labeling Emotion

356
Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
356
Cognitive Theories: Schachter-Singer Theory of Emotion01:20

Cognitive Theories: Schachter-Singer Theory of Emotion

739
Stanley Schachter and Jerome Singer proposed the two-factor theory of emotion, which emphasizes the interplay between physiological arousal and cognitive labeling in forming emotional experiences. This theory suggests that emotions are not simply a result of physiological responses but rather a combination of these responses and the individual's cognitive interpretation of them.
Physiological Arousal and Cognitive Labeling
According to this theory, when an individual experiences...
739
Non-Verbal Cues01:29

Non-Verbal Cues

32
Non-verbal communication extends beyond gestures and facial expressions to include vocal elements known as paralanguage. Paralanguage consists of non-verbal vocal cues such as pitch, loudness, speech rate, pauses, and non-verbal vocalizations like laughter, sighs, and moans. These elements not only accompany speech but also provide critical emotional and contextual information.The Role of Paralanguage in CommunicationParalanguage adds depth to spoken language by conveying emotions and...
32
Physiology of Emotion01:20

Physiology of Emotion

1.7K
The physiology of emotions is a multifaceted process involving the autonomic nervous system, brain structures, hormones, and neurotransmitters. This intricate interplay dictates how emotions manifest in the body and influence behavior.
Autonomic Nervous System
The autonomic nervous system (ANS) plays a critical role in emotional responses by regulating involuntary physiological functions. It consists of two main components: the sympathetic and parasympathetic systems. The sympathetic system...
1.7K
Emotional Expression01:26

Emotional Expression

531
Emotional expression encompasses how individuals convey their emotions through verbal communication and non-verbal cues. These non-verbal actions include facial expressions, body language, and physical gestures, such as frowning or smiling. Among these, facial expressions play a crucial role in emotional expression and are understood universally, indicating a biological basis for how humans communicate emotions.
Universal Facial Expressions
Psychologist Paul Ekman identified seven basic...
531
Cognitive Theories: Lazarus Mediational Theory of Emotion01:17

Cognitive Theories: Lazarus Mediational Theory of Emotion

1.3K
Richard Lazarus' cognitive mediational theory highlights the pivotal role of cognitive appraisal in shaping emotional responses. According to this theory, the evaluation of a stimulus — based on personal values, goals, beliefs, and expectations — mediates the emotional response. This appraisal process is immediate and often occurs unconsciously, influencing the intensity and nature of the resulting emotion.
Cognitive Appraisal and Emotional Response
Lazarus proposed that...
1.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Near-infrared absorbing compounds based on π-extended tetrathiafulvalene open-cage fullerenes.

The Journal of organic chemistry·2014
Same author

Synthesis of oxidized glycerol monooleate-chitosan polymer and its hydrogel formation for sustained release of trimetazidine hydrochloride.

International journal of pharmaceutics·2014
Same author

Site-differentiated polyboron arenes prepared by direct C-H borylation and their highly selective Suzuki-Miyaura cross-coupling reactions.

Angewandte Chemie (International ed. in English)·2014
Same author

Artificial peptides conjugated with cholesterol and pocket-specific small molecules potently inhibit infection by laboratory-adapted and primary HIV-1 isolates and enfuvirtide-resistant HIV-1 strains.

The Journal of antimicrobial chemotherapy·2014
Same author

Aberrantly expressed lncRNAs in primary varicose great saphenous veins.

PloS one·2014
Same author

[Mid-term evaluation on schistosomiasis control effect in Lushan earthquake-stricken areas in Sichuan Province].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control·2014

Related Experiment Video

Updated: Oct 10, 2025

Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

12.6K

Using machine learning analysis to interpret the relationship between music emotion and lyric features.

Liang Xu1, Zaoyi Sun2, Xin Wen1

  • 1Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.

Peerj. Computer Science
|December 13, 2021
PubMed
Summary

Lyric features significantly impact music valence but not arousal. Linguistic Inquiry and Word Count (LIWC) analysis revealed that word choice in songs influences perceived emotional valence, aiding music emotion recognition models.

Keywords:
Audio signal processingChinese pop songLIWCLyric feature extractionMusic emotion recognition

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.4K
fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals
11:15

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

7.3K

Related Experiment Videos

Last Updated: Oct 10, 2025

Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

12.6K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.4K
fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals
11:15

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

7.3K

Area of Science:

  • Music Psychology
  • Computational Linguistics
  • Affective Computing

Background:

  • Music combines melody and lyrics to convey emotions, with research focusing more on musical structure than lyrical content.
  • Understanding the role of lyrical features in music emotion recognition (MER) is crucial for a comprehensive approach.

Purpose of the Study:

  • To investigate the impact of linguistic features extracted using Linguistic Inquiry and Word Count (LIWC) on the perceived arousal and valence of music.
  • To assess the contribution of lyric features to the performance of music emotion recognition models.

Main Methods:

  • Extracted lyric features from 2,372 Chinese songs using LIWC technology.
  • Performed correlation analysis between lyric features and perceived music arousal/valence.
  • Developed random forest regression models for MER using audio and lyric features, analyzing feature importance.

Main Results:

  • Perceived music arousal correlated positively with lyric word count and negatively with past-oriented and insight words.
  • Perceived music valence showed a negative correlation with the proportion of negative emotion words in lyrics.
  • Lyric features significantly improved valence recognition models but were largely ineffective for arousal recognition models.
  • Audio features were decisive for both arousal and valence recognition, while specific lyric features (sadness, positive emotions, tentativeness) were important for valence prediction.

Conclusions:

  • Lyrical content, particularly word choice related to emotions, significantly influences the perceived valence of music.
  • While audio features are primary for MER, lyric features offer valuable, albeit specific, contributions, especially for valence prediction.
  • Future MER models can benefit from integrating carefully selected lyrical features to enhance emotional prediction accuracy.